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Title: Genomic Island Identification Software v 1.0

Genomic islands are key mobile DNA elements in bacterial evolution, that can distinguish pathogenic strains from each other, or distinguish pathogenic strains from non-pathogenic strains. Their detection in genomes is a challenging problem. We present 3 main software components that attack the island detection problem on two different bases: 1) the preference of islands to insert in chromosomal tRNA or tmRNA genes (, and 2) islands’ sporadic occurrence among closely related strains. The latter principle is employed in both an algorithm ( and a visualization method ( Component finds islands based on their preference for a particular target gene type. We annotate each tRNA and tmRNA gene, find fragments of each such gene as candidates for the distal ends of islands, and filter candidates to remove false positives. Component uses islands found by and other methods as a training set to find new islands. Reference genomes are aligned using mugsy, then the “phylotypes” or patterns of occurrence in the reference set are determined for each position in the target genome, and those phylotypes most enriched in the training set of islands are followed to detect yet more islands. Component produces a big-data visualization of the chromosomally-orderedmore » “pan-genome”, that includes every gene of every reference genome (x-axis, pan-genome order; y-axis, reference genomes; color-coding, gene presence/absence etc.), islands appearing as dark patches.« less
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Open Source Software package available from Sandia National Laboratory at the following URL:
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Research Org:
Sandia National Laboratory
Sponsoring Org:
United States Department of Energy
Contributing Orgs:
Kelly P. Williams Corey M. Hudson
Country of Publication:
United States

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